The exercises in this repo are designed to provide you with a hands-on learning experience in which you'll explore common tasks that developers perform when building AI agents on Microsoft Azure.

Must read Prerequisites for this labs.

Note: To complete the exercises, you'll need an Azure subscription in which you have sufficient permissions and quota to provision the necessary Azure resources and generative AI models. If you don't already have one, you can sign up for an Azure account. There's a free trial option for new users that includes credits for the first 30 days.

View the exercises in the GitHub Pages site for this repo.

Note: While you can complete these exercises on their own, they're designed to complement modules on Microsoft Learn; in which you'll find a deeper dive into some of the underlying concepts on which these exercises are based.

To run the exercises in a Dev Container, follow these steps:

1. Open the repository in Visual Studio Code.
2. Press F1 and select Remote-Containers: Reopen in Container.
3. Wait for the container to build and start.
4. Open a terminal in the container.
5. Start the virtual environment by running the following command:

   source /workspaces/mslearn-ai-agents/.venv/bin/activate
   

Instruction can be found here Labs content links

If you encounter any problems in the exercises, please report them as issues in this repo.